Tools to record, analyze, model and visualize. Explore the objectives and methods of our current research.
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HealthOn Azure
A multicenter registry to study lupus in Latin America. Organizes clinical instruments and longitudinal follow-up with country-specific versions.
Implementation. C#; Razor/Blazor; SQL; JSON
Machine learning. None identified in the engine reviewed.
Other methods. Eligibility rules; immutable, versioned questionnaires; instrument scoring; relational persistence; response traceability.
HealthOn Azure
Support social assessment and clinical research through configurable instruments, response pathways and assessment tracking.
Implementation. C#; Razor/Blazor; SQL; JSON
Machine learning. None identified.
Other methods. Conditional rules; field validation; form versioning; auditing; authentication and persistence.
EnvironmentResearch and development
Study benthic habitats in satellite imagery using deep learning segmentation and evaluate how well models generalize across regions.
Implementation. Python; PyTorch; CUDA mediante PyTorch
Machine learning. Yes: U-Net and DeepLabV3/ResNet50; supervised segmentation training.
Other methods. Geographic reprojection and alignment; tiling; masks; region-based data splits; IoU and per-class evaluation.
HealthOn Azure
Organize longitudinal records, consultations and hospital admissions for collaborative rheumatology research.
Implementation. C#; Razor/Blazor; SQL
Machine learning. None identified in the structure inspected.
Other methods. Relational models; forms and persistence; organization of clinical episodes.
HealthOn Azure
Structure instruments, responses and follow-up for patients with lupus to support clinical studies.
Implementation. C#; Razor/Blazor; SQL
Machine learning. None identified.
Other methods. Instrument ordering; forms; patient–response relationships; SQL export views.
HealthOn Azure
Collect patients' assessments of the clarity and relevance of research instruments.
Implementation. C#; Razor/Blazor; SQL; JSON
Machine learning. None identified.
Other methods. Versioned forms; responses and feedback for each question; validation; relational persistence; SQL export.
HealthOn Azure
Investigate the barriers and pathways involved in lupus diagnosis and treatment, and evaluate instruments to measure them.
Implementation. Python; Jupyter
Machine learning. None identified.
Other methods. Frequencies; mode; median; quartiles and IQR; synthesis of comments; comparison of questionnaire versions.
HealthOn Azure
Systematize information on pediatric patients and their caregivers using research and follow-up instruments.
Implementation. C#; Razor/Blazor; SQL; JSON
Machine learning. None identified.
Other methods. Versioned JSON questionnaires; definition imports; relational entities; data entry controls.
TeachingOn Azure
Collect and analyze opinions on medical education experiences to understand participation, perceived learning and opportunities for improvement.
Implementation. C#; Razor/Blazor; SQL
Machine learning. None identified.
Other methods. Participant verification using email hashes; single-response restriction; questionnaires and storage.
MethodsResearch and development
Develop and compare GPU-accelerated spatial structures as a basis for simulation, neighborhood searches and point cloud processing.
Implementation. C++20; CUDA; GLSL
Machine learning. No.
Other methods. Morton codes; sorting and neighbor searches; SPH; density, pressure and forces; covariance and Mahalanobis distance; OBJ/PLY reading; OpenGL visualization.
MethodsResearch and development
Build reference datasets for sports computer vision with annotations, taxonomies and assessment of inter-observer agreement.
Implementation. C#; Razor/Blazor; PostgreSQL; Python
Machine learning. No ML training is implemented in the reviewed codebase; it prepares data for subsequent models.
Other methods. Taxonomy and assignment validation; video metadata/FFprobe; Cohen's kappa agreement; temporal IoU.
EnvironmentResearch and development
Integrate mapping, population data and human–mosquito interaction models to study scenarios of dengue spread.
Implementation. Python; Jupyter
Machine learning. None identified in the data preparation notebooks reviewed.
Other methods. GeoPandas; NetworkX; integration of population, geographic and network data.
MethodsResearch and development
Characterize surfaces from their RGB response under illumination of different hues and compare this information with conventional images.
Implementation. C++; Python; OpenMP; Jupyter
Machine learning. No trained learning model in the reviewed algorithm; deterministic signature assignment.
Other methods. Global dictionary of 100-value signatures; tolerance-based comparison; normalization; mean, deviation and coefficient of variation; MAE/RMSE/SSIM; parallel CPU variant.
HealthResearch and development
Support local transcription and qualitative review of interviews through speech recognition and human coding tools.
Implementation. Python; JavaScript; HTML; SQLite
Machine learning. Yes: Whisper inference through faster-whisper; optional local LLM integration through Ollama.
Other methods. Temporal segmentation; local storage; transcript coding and review; result exports.
Reconstruction and analysis of archaeological remains and artifacts.
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